enabling spatial analysis in a web browser · timo aarnio 27.6.2013 . national land survey of...
TRANSCRIPT
1.7.2013
Enabling Spatial Analysis in a Web Browser
Timo Aarnio 27.6.2013 National Land Survey of Finland
Contents
Reference Architecture for SDI in Finland Oskari Platform Spatial Analysis in a browser using OGC WPS Demo Future
Reference Architecture for SDI
The national SDI in Finland is based on a Reference Architecture for SDI
Describes how to build a complete SDI that.. ..provides not only data but also services to make
use of the data available Analysis Services Storage Services Visualisation Services
Reference Architecture for SDI
In this presentation..
Oskari Platform (1/2)
Open Source platform for creating web map applications
Supports the utilisation of the SDI Used in several eGovernment applications Embedded maps used by public authorities Components Server (Action Controller, GeoTools) Client (OpenLayers, jQuery and many more)
Oskari Platform (2/2)
Main features WMS & WFS viewing and printing (PNG & PDF) Tailoring and publishing embedded maps Thematic mapping
Supports localisation English, Swedish and Finnish already available
The Finnish geoportal www.geoportal.fi is powered by Oskari
Oskari Platform will be used in the E.L.F. project More information: www.oskari.org
Examples (1/3)
Examples (2/3)
Examples (3/3)
Spatial Analysis in a browser using OGC WPS
Specifying analysis parameters in the browser Processing done on server side Presenting results in the browser Abstraction layer in Oskari takes care of the UI/UX Analysis is performed using spatial features In-depth knowledge about WPS, inputs & outputs not
needed Helps future integration work
Demo: Analysis by Thematic Mapping
Main view
Free text search for indicators
Time series from 1990 to present
Gender selection
Indicator metadata & source
Measures of central tendency
Classification methods
Number of classes
Color scheme selection
Diverging color scheme and manual breaks
Flipping colors
Flipping colors
Selecting a subset of features
Demo: Analysis tools ”How many people live within 500 meters of the high schools in Helsinki?”
Main view
Selecting datasets (WMS/WFS)
Entering the analysis mode
Selecting analysis method
Creating buffers around high schools
Intersecting data with created buffers
Aggregating feature property values
Future
More supported analysis methods Filtering possibilities based on Filter Encoding Saving process chains for later running Process scheduling Integrating with reporting tools, process chaining via
a service bus etc.
Summary
Reference Architecture for SDI in Finland Oskari Platform for utilising the SDI Spatial analysis can be carried out using web
browsers
more information: www.oskari.org www.github.com/nls-oskari www.geoportal.fi contact: [email protected]
Thank you!